ANALYSIS OF SYSTEMS OF QUALITATIVE VARIABLES WHEN SOME OF VARIABLES ARE UNOBSERVABLE .1. MODIFIED LATENT STRUCTURE APPROACH
ANALYSIS OF SYSTEMS OF QUALITATIVE VARIABLES WHEN SOME OF VARIABLES ARE UNOBSERVABLE .1. MODIFIED LATENT STRUCTURE APPROACH
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DOI：
10.1086/225676
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发表时间：
1974-01-01
影响因子：
4.4
通讯作者：
GOODMAN, LA
中科院分区：
文献类型：
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作者：
GOODMAN, LA
本文介绍了当其中一些变量是指定的显性（即观察到的）变量而其他变量是潜在（即未观察到或不可观察的）变量时分析一组定性变量之间关系的方法。我们将展示如何估计包含显变量和潜变量的路径图模型中表示的各种影响的大小，以及如何测试这种路径图模型是否与观察到的数据一致。这些方法可用于分析各种调查（包括小组研究）中获得的数据，也可用于构建用于测量和预测的测试和指数。为了说明它们的广泛适用性和灵活性，我们将使用这些方法来重新分析 Coleman (1964)、Lazarsfeld (1948, 1970)、Goodman (1973a) 等人之前分析的几组不同的数据。除了 Goodman (1973a) 中的一些相关结论外，本文介绍的方法得出的结论与早期分析这些数据的其他研究人员得出的结论有很大不同。
This article presents methods for analyzing the relationships among a set of qualitative variables when some of these variables are specified manifest (i.e., observed) variables and others are latent (i.e., unobserved or unobservable) variables. We shall show how to estimate the magnitude of the various effects represented in pathdiagram models that include both the manifestand latent variables, and also how to test whether this kind of path-diagram model is congruent with the observed data. These methods can be applied in order to analyze data obtained in various kinds of surveys (including panel studies), and also in order to construct tests and indices for purposes of measurement and prediction. To illustrate their wide applicability and flexibility, we shall use these methods to reanalyze several different sets of data which were analyzed earlier by Coleman (1964), Lazarsfeld (1948, 1970), Goodman (1973a), and others. Except for some related conclusions in Goodman (1973a), the methods introduced herein lead to conclusions that are very different from those presented by the other researchers who had analyzed these data earlier.